Index analysis


The following analysis is based on Training questions in the LG21 staff survey, using only complete responses
(10,089). The original survey response data have been transformed, so every staff response is assgined an
Index score between 1 (most negative responses) and 5 (most positive responses). Only selected questions
contributed to the Index for each topic (see table of contents for index questions). The boxplots below show
Index scores for Training questions for each Respondent (Fig A - boxplots are standardized graphs displaying
data distributions based on a five number summary [minimum, first quartile (Q1), median, third quartile (Q3),
and maximum]. Overall, Training questions scored higher than most other topics (i.e. scores are significantly
higher than other topics, Fig A). Within the Training Index scores, SOAs gave slightly more negative feedback
than other Roles, contributing to their lower Index.


Fig A). SG19 Survey Responses, aggregated by all Topics (left), and by Role for Training (right)


Then we can break the Training Index scores down by staff demographics, and the geographical remoteness of the Venue where individual staff worked (Fig B). Training Index scores did not differ by demographics (except for gender…), indicating the background of LG21 Election Staff did not substantailly affect their survey responses (how to phrase?). Similary, the Training Index scores where similar for staff working in the major cities, regional towns or remote NSW.


#### Fig B). Venues Survey Responses by Demoghraphics and remoteness (note, categories are not necessarily mutually exclusive)


Index Maps


Fig C). Training Survey Responses by RO Region


The map below shows the Index of survey reponses for Training questions in the LG21 Staff Survey. The index
values are the same as the boxplots, but are the average of all the staff responses within each RO Region
(the blue boundaries on the map). The blank Regions are those that did not participate in LG21 (Western,
Central Coast, Penrith and Wingecarribee LGAs).